Data Transfer Risk Identification System
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Solution Overview
Problem
The increasing frequency of security breaches leading to unauthorized access of personal data poses a significant challenge in ensuring privacy and security, particularly in companies and organizations of all sizes, where sensitive information such as personally identifiable information (PII) is at risk due to inadequate data transfer risk assessment and management.
Innovation Solution
A method and system that generate a data transfer record, analyze data models to identify locations and assess risks, and perform actions such as generating secure links, suspending or resuming data transfers, and requesting user approval through a graphical user interface to address data transfer risks based on risk thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data transfer risk assessment and management are strengthened to prevent unauthorized access, then data security is improved, but system complexity and operational overhead increase
Solution Approach 1:
The system performs preliminary risk assessments by analyzing data models and identifying locations before data transfers occur. Risk ratings are calculated in advance using established criteria, allowing potential security issues to be addressed before they manifest as actual breaches, thus improving reliability without proportionally increasing complexity during operation
Solution Approach 2:
The patent introduces an intermediary risk assessment system that sits between data sources and data destinations. This intermediary layer analyzes transfer risks, generates risk ratings, and determines whether transfers should proceed, providing a structured mediation process that improves security while maintaining manageable system architecture
2Measurement precision
If comprehensive data transfer assessments are performed using multiple rules and criteria, then measurement precision of risk evaluation is improved, but loss of time increases
Solution Approach 1:
The risk assessment process is segmented into distinct analytical components, each evaluating specific aspects of data transfers using targeted rules. By dividing the comprehensive assessment into manageable segments that can be executed in parallel or sequence, the system achieves high measurement precision through multiple criteria while reducing total assessment time through efficient organization
Solution Approach 2:
The system dynamically adjusts assessment parameters and rule application based on the specific data transfer context. By changing which rules are applied and how strictly they are enforced based on data sensitivity, location, and transfer characteristics, the system maintains high precision where needed while reducing assessment overhead in lower-risk scenarios
3Productivity
If automated risk rating and threshold-based actions are implemented, then productivity of risk management is improved, but ease of operation decreases
Solution Approach 1:
The system implements self-service automation where risk ratings are automatically calculated and threshold-based actions are automatically executed without requiring manual intervention. The system serves itself by monitoring its own risk metrics and autonomously implementing security measures when thresholds are exceeded, dramatically improving productivity while the simplified interface maintains ease of operation for users
Solution Approach 2:
The patent incorporates feedback loops where the results of automated assessments and actions are fed back into the system to refine future risk evaluations. This feedback mechanism allows the automated system to learn and adapt, improving productivity over time while providing transparent operational insights that maintain ease of use through clear visibility of system decisions
Data Source
AI summary
In particular embodiments, a Data Transfer Risk Identification System may be configured to analyze one or more data systems (e.g., data assets), identify data transfers between/among those systems, apply data transfer rules to each data transfer record, perform a data transfer assessment on each data transfer record based on the data transfer rules to be applied to each data transfer record, and calculate a risk score for the data transfer based at least in part on the one or more data transfer risks associated with the data transfer record.